SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer

Microorganisms have been detected in various tumors, and research on the tumor microbiome has received increasing attention. However, the investigation of the cancer microbiome at the spatial resolution level remains a challenging issue. The emergence of spatially resolved transcriptomics technology has enabled to map transcripts at the single-cell resolution in various cancer types. Here, we constructed a comprehensive spatial meta-transcriptome resource by manually curating 203 fresh frozen slices from 20 cancer types encompassing 334,253 spots and 1,908,646 cells. A spatial meta-transcriptome database (SMTdb; http://bio-bigdata.hrbmu.edu.cn/SMTdb/) was constructed to provide detailed insights into the abundance, distribution, and enriched tumor microenvironment (TME) regions of 1,218 microbiota in spatial tissue slices. SMTdb enables to explore the vast interactive data of spatial distribution and expression of microbiota, provides host gene modules associated with certain microbiota, and contains data on the co-occurrence between the microbiota and immune cells within the TME. The atlas resource serves as a comprehensive and structured platform to investigate the interactions between microbial ecosystems and hosts in cancer.

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Publication Details

Journal
Molecular Biology and Evolution
Published
2025-10-14
DOI
https://doi.org/10.1093/molbev/msaf263
Citations
1
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.81
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article

SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer

Minghai Su, Jiyu Guo, Weiwei Zhou, Tiantongfei Jiang et al.
1 citations
Molecular Biology and Evolution
Single-cell and spatial transcriptomics
0.81
article

SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer

Minghai Su, Jiyu Guo, Weiwei Zhou, Tiantongfei Jiang, Juan Xu, Jingyi Shi, Si Li, Yongsheng Li, Qingyi Yang, Feng Leng, Yueying Gao, T. Rong
article en
1 citations

Abstract

Microorganisms have been detected in various tumors, and research on the tumor microbiome has received increasing attention. However, the investigation of the cancer microbiome at the spatial resolution level remains a challenging issue. The emergence of spatially resolved transcriptomics technology has enabled to map transcripts at the single-cell resolution in various cancer types. Here, we constructed a comprehensive spatial meta-transcriptome resource by manually curating 203 fresh frozen slices from 20 cancer types encompassing 334,253 spots and 1,908,646 cells. A spatial meta-transcriptome database (SMTdb; http://bio-bigdata.hrbmu.edu.cn/SMTdb/) was constructed to provide detailed insights into the abundance, distribution, and enriched tumor microenvironment (TME) regions of 1,218 microbiota in spatial tissue slices. SMTdb enables to explore the vast interactive data of spatial distribution and expression of microbiota, provides host gene modules associated with certain microbiota, and contains data on the co-occurrence between the microbiota and immune cells within the TME. The atlas resource serves as a comprehensive and structured platform to investigate the interactions between microbial ecosystems and hosts in cancer.

Molecular Biology and EvolutionVol. 42(11)
Harbin Medical University (CN)
Openalex Percentile: Top 23%
Single-cell and spatial transcriptomics
0.81
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SMTdb: A Comprehensive Spatial Meta-Transcriptome Resource in Cancer — Minghai Su, Jiyu Guo, et al. · Molecular Biology and Evolution (2025) | TGRS Research Map | TGRS